Explore Prompts

Implement a semantic cache for repeated queries and a de-dup stage to collapse near-duplicate sources. Provide hit/miss metrics and eviction policy.

Train an LTR model to order passages by usefulness. Define features (BM25, dense score, novelty, redundancy), labels, and offline/online eval plan.

Design a mobile UX with offline packs, low-bandwidth retrieval, and later sync. Provide caching TTL, conflict resolution, and share sheet flows.

Add shared workspaces with highlights, comments, tasks, and version diffs on answers. Provide permissions and merge policies for edits.

Specify an intent/entity parser to steer retrieval (who/what/where/time). Include temporal normalizers and domain ontologies. Provide examples and error handling.

Design a template that compares 3–8 sources across claims, methods, and biases. Provide a scoring rubric and a ‘consensus vs dissent’ table format.

Create a calibrated confidence score with abstain rules when evidence is thin or conflicting. Provide messaging strategies and re-query tactics.

Write a polite crawling policy: robots.txt compliance, crawl budgets, backoff, and legal safe-use notes. Provide telemetry fields to prove compliance.

Define a plugin interface for new corpora with auth, rate limits, pagination, and schema normalization. Provide example adapters and a certification checklist.

Add a privacy stage that redacts PII from inputs/outputs and blocks storage for sensitive fields. Provide audit logs and consent flags in metadata.

Design a DAG (Airflow/Prefect) for reproducible research: crawl→retrieve→synthesize→verify→export. Include artifact hashing and cache invalidation rules.

Create an exporter that converts answers into JSON/CSV with fields (claim,evidence,source_url,confidence,timestamp). Provide schemas and sample exports.